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Trifecta Checker AI Safety Gate for Lethal Agents

Trifecta Checker AI Safety Gate for Lethal Agents

Trifecta Checker is an AI safety gate that blocks Lethal Trifecta attacks - the dangerous combination of Private Data + Untrusted Content + External Communication that enables data theft via prompt injection. The problem: AI agents with tools like read_gmail, browse_web, and send_email can be tricked by malicious web content to steal private emails and exfiltrate them. This is called the Lethal Trifecta. Our solution: One API call - POST /api/check-trifecta - analyzes the agent's tool manifest and returns instant verdict: - LETHAL (3/3 tools): 403 Forbidden - BLOCKED - Cannot execute - WARNING (2/3 tools): 200 OK with caution flag - SAFE (1/3 tools): 200 OK - Safe to proceed Live and tested: https://trifecta-checker.vercel.app/ - LETHAL test [read_gmail, browse_web, send_email] -> 403 - WARNING [browse_web, send_email] -> 200 warning - SAFE [read_gmail] -> 200 safe For 【entity-AMD©canonical_name=AMD】 AI League Match 4 - Intelligent Web Information Retrieval - we extend with Trusted Source Verification: before allowing external communication, we verify web sources are trusted (.gov, .edu, Concordium ID verified). If source is untrusted, block or flag. Tech: Next.js 14 + TypeScript, Vercel Edge, Python/JS SDKs, 【entity-AMD©canonical_name=AMD】 ROCm ready for LLM inference. GitHub: github.com/altima261/trifecta-checker. Blog: dev.to/altima261. Built by Mohammed Binashwan (altima261) from Jeddah, Saudi Arabia. Team trifecta-checker solo UTC+3. This project also registered in Concordium Trusted Agents (ZK Proofs + on-chain audit) and Vultr Agent Rush (Blast Radius Zero sandbox).

trifecta-checker
VercelAMD ROCm
Ariadne

Ariadne

Ariadne is a production-grade, proof-grounded web information retrieval agent. Most LLM-based web agents suffer from a critical flaw: they hallucinate. When they cannot find an answer, they guess, leaving users with confident but fabricated lies. Ariadne solves this using a strict "Proof or Silence" architecture. When given a starting URL and a natural language question, Ariadne navigates the website using information-scent scoring. It extracts candidate answers using a three-tier pipeline: deterministic schema.org JSON-LD parsing, LLM-based reading comprehension (via the Gemini API), and a conservative rule-based fallback. Crucially, Ariadne is built with generator-verifier separation. The LLM that extracts the answer is never allowed to declare it correct. An independent Verifier enforces a strict verbatim-quote gate (the quote must exist exactly in the fetched HTML), an attribute-attachment gate, and an independent entailment check. If any gate fails, the agent explicitly returns "not_found". Every successful query returns a "proof object" containing the answer, the exact source quote, the URL, and a SHA-256 content hash, ensuring 100% auditability. If no proof exists, it refuses to guess. Engineered for hostile web environments, Ariadne includes SSRF guards to block private IP fetching, NFC Unicode normalization for international text matching, and strict body-size limits to prevent DOM/resource exhaustion. Packaged on the mandated ROCm base image, Ariadne leverages GPU-accelerated inference via Gemini, ensuring rapid, deterministic, and hallucination-free retrieval that enterprise applications can actually trust.

Deterministic Doom
Gemini AIAMD ROCmAMD Developer Cloud+1
Jarvis

Jarvis

It is a very powerful ai chatbot which can run using your hand movements and run on various environments to perform your various tasks visually using 3D visualisation and remind you of anything anytime just using commands and many more to come.JARVIS is not just an AI assistant; it is an ambitious step toward building a futuristic digital intelligence inspired by the possibilities of Tony Stark’s legendary technology. Designed as an expanding ecosystem of intelligent environments, JARVIS combines conversational AI, futuristic interfaces, visual intelligence, scientific simulations, and centralized command capabilities into one powerful web-based platform. Its six environments—Main JARVIS, Velve, Terranexus, Command Centre, Vision Intelligence, and Ultron—represent different dimensions of an interconnected digital universe. From exploring scientific experiments and mechanical simulations to visual intelligence and advanced system interaction, every environment expands what a personal AI ecosystem can become. JARVIS aims to transform the way humans interact with technology, bringing multiple intelligent capabilities together through a unified interface. Its long-term vision reaches beyond answering questions toward helping users interact with digital tools, navigate complex information, and manage technological workflows. Built with the ambition to evolve continuously, JARVIS represents a bold vision of a world where AI is not merely something you talk to—it becomes the intelligent interface connecting you to your digital universe. JARVIS: One Intelligence. Multiple Environments. An Entire Digital Universe at Your Command.

DENCO
AI/ML APIAssistants APIrest api
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